Intelligent control and regulation system for highlight injection mold temperature controller

Abstract

The invention belongs to the technical field of highlight injection mold temperature controller data regulation and control, and particularly discloses and provides a highlight injection mold temperature controller intelligent control regulation and control system which comprises the steps that whether an injection mold insert is replaced or not is recognized, flaw detection is conducted on a pre-material, and operation data of a highlight injection mold temperature controller are preset; the defect of the pre-material can be prevented from being amplified in the injection molding process; by identifying the defect parameters corresponding to the operation data, the specific operation parameters causing the defects can be accurately identified, so that the preset operation data of the next operation of the highlight injection mold temperature controller can be corrected in a targeted manner, the generation of the defects can be reduced, the consistency of the quality of products produced by injection molding each time is ensured, and the production efficiency is improved. The difference between products is reduced; the regulation and control trend of the preset operation data is determined by identifying the operation parameter deviation trend of the highlight injection molding target, and a scientific basis can be provided for a decision maker, so that the decision maker can make a more accurate and reasonable decision.

Description

Technical Field

[0001] The invention belongs to the technical field of data control of a high-light injection molding mold temperature machine, and relates to an intelligent control and regulation system for a high-light injection molding mold temperature machine. Background Art

[0002] Injection molding is an important plastic processing method with the advantages of high production efficiency, high product precision and low production cost. It is widely used in the automotive, electronic and medical fields. In the injection molding process, the control of operating parameters such as mold temperature and pressure has a decisive influence on product quality. With the continuous expansion of the application field of injection molded products, the mold structure has become increasingly complex, and the mold volume and cavity structure have brought greater challenges to parameter control. In response to these problems, the invention of the Gaoguang injection mold temperature controller intelligent control and regulation system came into being.

[0003] In the prior art, there are also some related solutions involving the control of injection molding product operation data. For example, the Chinese patent publication number CN116100772A discloses an overheating protection method and protection system for an injection molding machine, which obtains the temperature information and pressure data in the injection molding tube through a temperature acquisition module, processes the temperature information to obtain the coefficient temperature in the injection molding tube, compares the coefficient temperature threshold with the coefficient temperature in the injection molding tube, and obtains the high temperature warning control information and the normal temperature control information. When a high temperature warning control information appears in the injection molding tube, the material heat coefficient is obtained in combination with the pressure data in the injection molding tube. When the material heat coefficient is abnormal, the heat on the injection molding tube is absorbed by the cooling component at this time, which can avoid overheating of the injection molding cylinder of the injection molding machine and greatly reduce the phenomenon of material agglomeration in the injection molding tube.

[0004] Although the above scheme proposes some solutions for regulating the operation data of injection molded products, there are still the following limitations: 1. The existing technology is mostly fixed in the preset timing of the injection molding operation parameters, and lacks differentiated presets based on the pre-material and its defect state before entering the mold. The performance difference and defect state of the pre-material have an important impact on the quality of injection molded products. If the injection molding operation parameters cannot be differentiated and preset according to the actual situation of the pre-material, the quality of the produced products may fluctuate. For example, when the humidity of the pre-material is high, if the parameters such as the injection molding temperature and pressure remain unchanged, it may cause defects such as shrinkage and bubbles in the product.

[0005] 2. When adjusting the operating data, the prior art mostly performs overall control and identification based on the overall deviation state of the injection molded product, and does not perform operating data pairing detection for multiple defect categories of the injection molded product, which limits the control and regulation accuracy of the corresponding operating parameters of the injection molded product. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a high-gloss injection molding mold temperature controller intelligent control and regulation system is now proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent control and regulation system for a high-light injection molding mold temperature machine, the system comprising: a high-light injection molding target change module, used to obtain the process requirements of the high-light injection molding target and identify whether to replace the injection mold insert.

[0008] The pre-material property detection module is used to detect defects in the pre-material and preset the operating data of the high-light injection mold temperature controller, including injection temperature and injection pressure, based on the replaced injection mold inserts.

[0009] The operation abnormality feature evaluation module is used to obtain the corresponding paired defect parameters of the operation data of the highlight injection molding target and to identify the corresponding paired defect parameters of the operation data.

[0010] The pre-operation data control module is used to pair defect parameters according to the operation data of the high-light injection molding target, and correct the preset operation data of the next operation of the high-light injection molding mold temperature controller.

[0011] Compared with the prior art, the present invention has the following beneficial effects: (1) By performing defect detection on pre-materials, the present invention can timely discover potential problems of pre-materials such as impurities and bubbles, and pre-set the operating data of the high-gloss injection molding mold temperature controller accordingly, which can prevent the pre-material defects from being magnified during the injection molding process and thus affecting the quality of the final product.

[0012] (2) The present invention can accurately identify the specific operating parameters that cause defects by identifying the corresponding paired defect parameters of the operating data, thereby specifically correcting the preset operating data of the next operation of the high-gloss injection molding mold temperature controller, which helps to reduce the occurrence of defects and improve product quality. The corrected preset operating data can more accurately reflect the impact of different defect types on the injection molding process, thereby ensuring that the product quality of each injection molding production remains consistent and reducing the difference between products.

[0013] (3) The present invention can provide a scientific basis for decision makers to make more accurate and reasonable decisions by identifying the deviation trend of the operating parameters of the high-gloss injection molding target and then determining the control trend of the preset operating data. At the same time, the present invention combines defect identification, parameter adjustment and intelligent technology to promote the development of injection molding production in a more intelligent and automated direction. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0015] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] See also Figure 1 As shown, the present invention provides an intelligent control and regulation system for a high-light injection molding mold temperature controller, the system comprising: a high-light injection molding target setting module, a pre-material property detection module, an operation abnormality feature evaluation module, and a pre-operation data regulation module.

[0018] The highlight injection molding target setting module is connected to the pre-material property detection module, the pre-material property detection module is connected to the operation abnormality feature evaluation module, and the operation abnormality feature evaluation module is connected to the pre-operation data control module.

[0019] The highlight injection molding target replacement module is used to obtain the process requirements of the highlight injection molding target and identify whether to replace the injection mold insert.

[0020] The injection mold insert of the Gaoguang injection mold temperature controller refers to the parts used to process the inner cavity shape in the injection mold, helping to process more precise products.

[0021] In a preferred embodiment, the identification of whether to replace the mold insert includes: obtaining the process requirements of the highlight injection molding target, including shape and size, highlight requirements, and material properties, comparing them with the process requirements of the previous highlight injection molding target, and identifying whether its process requirements have changed. When its process requirements have changed, matching the process requirements of the highlight injection molding target with the corresponding process requirements of each preset injection mold insert, determining the replacement insert of the injection mold of the highlight injection molding target, and then replacing the injection mold insert.

[0022] The material properties include thermoplastic and thermoset.

[0023] The pre-material property detection module is used to perform defect detection on the pre-material, and in combination with the replaced injection mold insert, preset the operating data of the high-light injection mold temperature controller, including injection temperature and injection pressure.

[0024] In a preferred embodiment, the defect detection of the pre-material includes: obtaining the corresponding moisture content, particle distribution content, and bubble pore distribution content of the pre-material of the highlight injection molding target by infrared reflection method, comparing them with the preset benchmark moisture content, benchmark particle distribution content, and benchmark bubble pore distribution content, and then multiplying them to obtain the corresponding defect coefficient Dc of the pre-material of the highlight injection molding target.

[0025] The pre-material refers to the plastic melt before entering the mold.

[0026] The infrared reflection method uses the principle that infrared rays penetrate different components in the pre-material and have different infrared reflectivity to measure the content of corresponding moisture, particle distribution, and bubble pore distribution of the pre-material.

[0027] In a further preferred embodiment, the preset operation data of the high-gloss injection mold temperature controller includes: obtaining the corresponding cavity structure contour of the replaced injection mold insert, extracting the number of flow channel branches N and the gate layout area S of each flow channel branch in the cavity structure contour j and flow channel length L j , analyze the complexity coefficient of mold flow channel Where S 0 , L 0 They represent the preset reference gate layout area and reference runner length respectively, j represents the number of the runner branch, j=1,2,…,a.

[0028] The material properties are extracted from the process requirements of the high-gloss injection molding target and the sensitivity coefficient γ of the operating parameters is analyzed.

[0029] Get the reset injection temperature R of the Gaoguang injection molding temperature controller temp , reset injection pressure R pres , based on which the injection temperature of the high-gloss injection molding temperature controller is preset Injection pressure

[0030] Specifically, the corresponding cavity structure of the injection mold insert will increase the flow resistance of the melt in the mold. If the cavity structure is complex or small in size, the melt will need to overcome greater resistance during the flow process, resulting in uneven heat transfer in the mold; if the cavity structure is uneven or has sudden changes, it may cause uneven distribution of injection pressure in the mold, resulting in defects such as stress concentration or warping, and at the same time, it may cause poor melt flow or dead corners, thus affecting the selection of injection temperature and the molding effect of injection molded parts.

[0031] In a further preferred embodiment, the sensitivity coefficient of the analysis operation parameter includes: extracting material properties from the process requirements of the highlight injection molding target, extracting the preset melting point and viscosity flow temperature of the corresponding material properties of the pre-material of the highlight injection molding target, constructing a pre-material property measurement of the highlight injection molding target, matching it with the preset thermal weights of each material property measurement, and obtaining the pre-material thermal weight A of the highlight injection molding target.

[0032] The melting point is the critical temperature at which the pre-material changes from a solid state to a liquid state.

[0033] The viscous flow temperature is the temperature at which the pre-material begins to exhibit significant fluidity.

[0034] Obtain the pre-material operation record of the highlight injection molding target, and extract the corresponding melt temperature M of the pre-material of the highlight injection molding target from it temp , and then obtain the corresponding preset coordination weight B of the melt temperature of the Gaoguang injection molding mold temperature controller under the reset operation parameter state.

[0035] The pre-material operation record of the highlight injection molding target refers to the steps and parameter records of the fusion operation of various raw materials.

[0036] The corresponding melt temperature of the pre-material refers to the state temperature of the pre-material before it enters the mold.

[0037] Extract the corresponding raw material type and product thickness of the pre-material from the pre-material operation record of the high-gloss injection molding target, combine the corresponding preset mold strength of the replaced injection mold insert, determine the basic curing time τ of the pre-material, and determine the adjustment factor of the basic curing time

[0038] The mold strength here mainly refers to the rigidity and heat conduction performance of the mold.

[0039] Specifically, the method for determining the basic curing time of the pre-material is: obtaining the recommended curing conditions (such as temperature and time) of the corresponding raw material type of the pre-material, comparing them with the corresponding basic curing time of each preset recommended curing condition, and determining the basic curing time of the pre-material.

[0040] The method for determining the adjustment factor of the basic curing time is as follows: the product thickness corresponding to the pre-material and the preset mold strength corresponding to the injection mold insert are multiplied by the preset unit product thickness and unit mold strength corresponding to the curing time influence rate to obtain the product thickness and mold strength corresponding to the curing time influence rate, and the sum is obtained to obtain the adjustment factor of the basic curing time.

[0041] Analyze the sensitivity coefficients of the corresponding operating parameters of the high-gloss injection molding target Where M′ temprepresents the preset reference melt temperature, and C represents the set constant.

[0042] The present invention can timely discover potential problems of pre-materials such as impurities and bubbles by identifying whether to replace injection mold inserts and performing defect detection on pre-materials. The operating data of the high-gloss injection mold temperature controller is pre-set accordingly, which can prevent the pre-material defects from being magnified during the injection molding process and thus affecting the quality of the final product.

[0043] The operation abnormality feature evaluation module is used to obtain the corresponding paired defect parameters of the operation data of the highlight injection molding target and to identify the corresponding paired defect parameters of the operation data.

[0044] In a preferred embodiment, the operation data corresponding to the paired defect parameters of the highlight injection molding target specifically include injection temperature corresponding to the paired defect parameters and injection pressure corresponding to the paired defect parameters.

[0045] The injection temperature corresponding pairing defect parameters include an overflow heat corresponding pairing defect parameter and a poor heat corresponding pairing defect parameter.

[0046] The injection temperature corresponding paired defect parameters include overflow corresponding paired defect parameters and poor heat corresponding paired defect parameters of a thermoplastic high-gloss injection molding target and a thermosetting high-gloss injection molding target with material properties.

[0047] The injection pressure corresponding pairing defect parameters include overflow pressure corresponding pairing defect parameters and lean pressure corresponding pairing defect parameters.

[0048] In a further preferred embodiment, the identification of the corresponding paired defect parameters of the operation data includes: obtaining material properties from the process requirements of the highlight injection molding target, the material properties include thermoplasticity and thermosetting, when the material property of the highlight injection molding target is thermoplastic, obtaining the corresponding apparent contour of the highlight injection molding target, comparing it with the corresponding standard contour of the highlight injection molding target, detecting the corresponding paired defect parameters of the overflow of the thermoplastic highlight injection molding target, including the burn spot measurement, the overflow measurement, and the expansion measurement, comparing it with the preset reference measurement of the corresponding defect parameter of the overflow, and then summing the comparison values ​​to calculate the overflow level H of the thermoplastic highlight injection molding target. over ; It also detects the corresponding paired defect parameters of the thermoplastic highlight injection molding target, including weld mark measurement, surface corrosion measurement, and glue deficiency measurement, and compares them with the preset reference measurement of the corresponding defect parameters of the thermoplastic highlight injection molding target, and then sums the comparison values ​​to calculate the thermoplastic highlight injection molding target The level of heat depletion H poor .

[0049] The burn spot measurement refers to the area of ​​dark stripes or black spots produced by thermal decomposition of the high melt temperature. The overflow measurement refers to the volume of the melt flowing into the mold gap due to excessive fluidity caused by the high melt temperature. The expansion measurement refers to the size and volume of the mold cavity expansion caused by the high melt temperature.

[0050] The weld mark measurement refers to the length of the flow mark on the surface of the highlight injection molding target that is uneven due to insufficient temperature. The surface erosion measurement refers to the area of ​​the surface of the highlight injection molding target that is matte, whitish, or turbid. The glue deficiency measurement refers to the missing volume of the highlight injection molding target.

[0051] When the material property of the highlight molding target is thermosetting, the corresponding apparent contour of the highlight molding target is compared with the corresponding standard contour of the highlight molding target, and the corresponding paired defect parameters of the thermosetting highlight molding target are detected, including over-curing measurement, burnt spot measurement, and expansion measurement. The measurement is compared with the preset reference measurement of the corresponding defect parameter of the heat overflow, and then the comparison value is summed to calculate the heat overflow level H′ of the thermosetting highlight molding target. over ; It also detects the corresponding paired defect parameters of the thermosetting high-gloss injection molding target, including the curing deficiency measurement, the weld mark measurement, and the glue deficiency measurement, and compares them with the preset reference measurement of the corresponding defect parameters of the heat deficiency, and then sums the comparison values ​​to calculate the heat deficiency level H′ of the thermosetting high-gloss injection molding target poor .

[0052] The over-curing measurement refers to the degree to which the thermosetting material is over-cured when the temperature is too high, resulting in increased brittleness of the plastic part. It is obtained by performing a hardness test on the highlight injection molding target using a hardness tester, such as a Brinell hardness tester, a Rockwell hardness tester, etc.

[0053] In a further preferred embodiment, the identification of the corresponding paired defect parameters of the operation data also includes: comparing the corresponding apparent contour of the highlight injection molding target with the corresponding standard contour of the highlight injection molding target, detecting the corresponding paired defect parameters of the overflow pressure of the highlight injection molding target, including overflow measurement and warpage measurement, comparing them with the preset reference measurement of the corresponding defect parameters of the overflow pressure, and then summing the comparison values ​​to calculate the overflow pressure level F of the highlight injection molding target. over ; It also detects the corresponding paired defect parameters of the poor pressure of the highlight injection molding target, including weld mark measurement and glue deficiency measurement, compares them with the preset reference measurement of the corresponding defect parameters of the poor pressure, and then sums the comparison values ​​to calculate the poor pressure level F of the highlight injection molding target poor .

[0054] The warpage measurement refers to the volume of the high-gloss injection molding target that is warped after demolding due to excessive pressure on the molten material in the mold caused by excessive injection pressure.

[0055] The pre-operation data control module is used to pair defect parameters according to the operation data of the high-light injection molding target, and correct the preset operation data of the high-light injection molding mold temperature controller for the next operation.

[0056] In a preferred embodiment, the preset operation data for the next operation of the high-gloss injection molding mold temperature controller is corrected, including: determining the corresponding deviation index of the injection temperature based on the identification result of the corresponding paired defect parameters of the operation data; In the formula, q1 and q2 represent the material properties of the target of high-gloss injection molding, which are thermoplastic and thermosetting, respectively, and determine the corresponding deviation index of injection pressure.

[0057] Identify the low quality of injection molding quality of the high-gloss injection molding target η=max(η temp ,η pres ), compare it with the preset low-quality baseline value of injection molding quality, if it exceeds the preset low-quality baseline value of injection molding quality, then based on the material properties of the highlight molding target, the waste type of the highlight molding target is confirmed, specifically, if the material property of the highlight molding target is thermoplastic, then the waste type is confirmed as rework, and the process correction factor of the next operation parameter of the highlight molding target is recorded as δ′, otherwise it is confirmed as a discard, and the process correction factor of the next operation parameter of the highlight molding target is recorded as δ″.

[0058] Obtain the process correction factor δ of the next operation parameter corresponding to the high-light injection molding target, δ=δ′ or δ″ and δ′<δ″, and determine the corresponding correction demand index of the preset operation data of the high-light injection molding mold temperature controller for the next operation η′ represents the baseline value of the preset low-quality injection molding, and obtains the deviation trend of the operating parameters of the high-light injection molding target, and determines the control trend of the preset operating data, which includes upward and downward adjustments.

[0059] The present invention can accurately identify the specific operating parameters that cause defects by identifying the corresponding matching defect parameters of the operating data, so as to specifically correct the preset operating data of the next operation of the high-light injection molding mold temperature controller, which helps to reduce the occurrence of defects and improve product quality. The corrected preset operating data can more accurately reflect the impact of different defect types on the injection molding process, thereby ensuring that the product quality of each injection molding production remains consistent and reducing the difference between products.

[0060] In a further preferred embodiment, the control trend of the preset operation data is determined by comparing the overflow level and the poor heat level of the thermoplastic high-gloss injection molding target. The temperature deviation trend of the thermoplastic high-gloss injection molding target is defined as the overheating trend. The temperature deviation trend of the thermoplastic highlight injection molding target is defined as the poor heat trend, and the temperature deviation trend of the thermoplastic highlight injection molding target is identified accordingly, including the overflow heat trend and the poor heat trend.

[0061] According to the temperature deviation trend identification method of the thermoplastic highlight injection molding target, the temperature deviation trend of the thermosetting highlight injection molding target is identified in the same way, and the pressure deviation trend of the highlight injection molding target is identified in the same way.

[0062] When the temperature deviation trend of the thermoplastic or thermosetting highlight injection molding target is an overflow trend, the control trend of the injection temperature corresponding to the preset operation data is determined to be downward adjustment; when the temperature deviation trend of the thermoplastic highlight injection molding target is a lean heat trend, the control trend of the injection temperature corresponding to the preset operation data is determined to be upward adjustment, and then the control trend of the injection pressure corresponding to the preset operation data is determined in this way.

[0063] The present invention can provide a scientific basis for decision makers by identifying the deviation trend of operating parameters of the highlight injection molding target and then determining the regulation trend of preset operating data, so that they can make more accurate and reasonable decisions. At the same time, the defect identification, parameter adjustment and intelligent technology are combined to promote the development of injection molding production in a more intelligent and automated direction.

[0064] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A high-gloss injection molding mold temperature controller intelligent control and regulation system, characterized in that: The system includes: High-gloss injection molding target replacement module is used to obtain the process requirements of high-gloss injection molding targets and identify whether to replace the injection mold inserts; The pre-material property detection module is used to detect defects in the pre-material and preset the operating data of the high-gloss injection mold temperature controller, including injection temperature and injection pressure, based on the replaced injection mold inserts; The operation abnormality feature evaluation module is used to obtain the corresponding paired defect parameters of the operation data of the high-gloss injection molding target and identify the corresponding paired defect parameters of the operation data; The pre-operation data control module is used to pair defect parameters according to the operation data of the high-light injection molding target, and correct the preset operation data of the next operation of the high-light injection molding mold temperature controller.

2. According to claim 1, a high-gloss injection molding mold temperature controller intelligent control and regulation system is characterized in that: The identification of whether to replace the mold insert includes: obtaining the process requirements of the highlight injection molding target, comparing it with the process requirements of the previous highlight injection molding target, identifying whether its process requirements have changed, and when its process requirements have changed, matching the process requirements of the highlight injection molding target with the corresponding process requirements of each preset injection mold insert, determining the replacement insert of the injection mold of the highlight injection molding target, and then replacing the injection mold insert.

3. According to claim 1, a high-gloss injection molding mold temperature controller intelligent control and regulation system is characterized in that: The defect detection of the pre-material includes: obtaining the corresponding moisture content, particle distribution content, and bubble pore distribution content of the pre-material of the high-gloss injection molding target by infrared reflection method, comparing them with the preset reference moisture content, reference particle distribution content, and reference bubble pore distribution content, and then multiplying them to obtain the corresponding defect coefficient Dc of the pre-material of the high-gloss injection molding target.

4. According to claim 3, a high-gloss injection molding mold temperature controller intelligent control and regulation system is characterized in that: The preset operation data of the high-gloss injection molding mold temperature controller includes: Obtain the corresponding cavity structure contour of the replaced injection mold insert, extract the number of runner branches N and the gate layout area S of each runner branch in the cavity structure contour j and flow channel length L j , analyze the complexity coefficient of mold flow channel Where S0 and L0 represent the preset reference gate layout area and reference runner length respectively, j represents the number of the runner branch, j = 1, 2, ..., a; Extract material properties from the process requirements of high-gloss injection molding targets and analyze the sensitivity coefficient γ of the operating parameters; Get the reset injection temperature R preset by the Gaoguang injection molding temperature controller temp , reset injection pressure R pres , based on which the injection temperature of the high-gloss injection molding temperature controller is preset Injection pressure 5. According to claim 4, a high-gloss injection molding mold temperature controller intelligent control and regulation system is characterized in that: The sensitivity coefficient of the analytical operation parameters includes: Extract material properties from the process requirements of the high-gloss injection molding target, extract the preset melting point and viscosity flow temperature of the corresponding material properties of the pre-material of the high-gloss injection molding target, construct the pre-material property measurement of the high-gloss injection molding target, match it with the preset heat-sensitive weights of each material property measurement, and obtain the pre-material heat-sensitive weight A of the high-gloss injection molding target; Obtain the pre-material operation record of the highlight injection molding target, and extract the corresponding melt temperature M of the pre-material of the highlight injection molding target from it temp , and then obtain the corresponding preset coordination weight B of the melt temperature of the high-gloss injection molding mold temperature controller under the reset operation parameter state; Extract the corresponding raw material type and product thickness of the pre-material from the pre-material operation record of the high-gloss injection molding target, combine the corresponding preset mold strength of the replaced injection mold insert, determine the basic curing time τ of the pre-material, and determine the adjustment factor of the basic curing time Analyze the sensitivity coefficients of the corresponding operating parameters of the high-gloss injection molding target Where M′ temp represents the preset reference melt temperature, and C represents the set constant.

6. The intelligent control and regulation system for high-gloss injection molding mold temperature controller according to claim 1 is characterized in that: The operation data corresponding paired defect parameters of the highlight injection molding target specifically include injection temperature corresponding paired defect parameters and injection pressure corresponding paired defect parameters; The injection temperature corresponding pairing defect parameters include overflow heat corresponding pairing defect parameters and poor heat corresponding pairing defect parameters; The injection pressure corresponding pairing defect parameters include overflow pressure corresponding pairing defect parameters and lean pressure corresponding pairing defect parameters.

7. The intelligent control and regulation system for high-gloss injection molding mold temperature controller according to claim 6 is characterized in that: The identification of the corresponding paired defect parameters of the operation data includes: obtaining material properties from the process requirements of the highlight injection molding target, the material properties include thermoplasticity and thermosetting, when the material property of the highlight injection molding target is thermoplasticity, obtaining the corresponding apparent contour of the highlight injection molding target, comparing it with the corresponding standard contour of the highlight injection molding target, detecting the corresponding paired defect parameters of the overflow of the thermoplastic highlight injection molding target, including the measurement of the burn spot, the overflow measurement, and the expansion measurement, and calculating the overflow level H of the thermoplastic highlight injection molding target. over It also detects the corresponding paired defect parameters of the thermoplastic high-gloss injection molding target, including weld mark measurement, surface erosion measurement, and glue deficiency measurement, and calculates the low-heat level H of the thermoplastic high-gloss injection molding target. poor ; When the material property of the highlight molding target is thermosetting, the corresponding apparent contour of the highlight molding target is compared with the corresponding standard contour of the highlight molding target, the corresponding paired defect parameters of the overheating of the thermosetting highlight molding target are detected, and the overheating level H′ of the thermosetting highlight molding target is calculated. over ; Also detect the poor heat corresponding paired defect parameters of the thermosetting high-gloss injection molding target, and calculate the poor heat level H′ of the thermosetting high-gloss injection molding target poor .

8. The intelligent control and regulation system for high-gloss injection molding mold temperature controller according to claim 7 is characterized in that: The identification of the corresponding paired defect parameters of the operation data also includes: comparing the corresponding apparent contour of the highlight injection molding target with the corresponding standard contour of the highlight injection molding target, detecting the corresponding paired defect parameters of the overflow pressure of the highlight injection molding target, and calculating the overflow pressure level F of the highlight injection molding target. over ; Also detect the corresponding paired defect parameters of the high-gloss injection molding target's poor pressure, and calculate the poor pressure level F of the high-gloss injection molding target poor .

9. The intelligent control and regulation system for high-gloss injection molding mold temperature controller according to claim 8, characterized in that: The preset operation data for the next operation of the high-gloss injection molding mold temperature controller includes: determining the corresponding deviation index of the injection temperature based on the identification result of the corresponding matching defect parameters of the operation data; In the formula, q1 and q2 represent the material properties of the target of high-gloss injection molding, which are thermoplastic and thermosetting, respectively, and e represents the natural constant, and determines the corresponding deviation index of injection pressure. Identify the low quality of injection molding quality of the high-gloss injection molding target η=max(η temp ,η pres ), compare it with the preset low-quality baseline value of injection molding quality, and if it exceeds the preset low-quality baseline value of injection molding quality, confirm the type of waste for the high-gloss injection molding target; Obtain the process correction factor δ of the next operation parameter corresponding to the high-light injection molding target, and determine the corresponding correction demand index of the preset operation data of the high-light injection molding mold temperature machine for the next operation η′ represents the baseline value of the preset low-quality injection molding, and obtains the deviation trend of the operating parameters of the high-light injection molding target to determine the control trend of the preset operating data.

10. The intelligent control and regulation system for high-gloss injection molding mold temperature controller according to claim 9, characterized in that: The control trend of the preset operation data is determined in a specific manner as follows: comparing the overflow heat level and the poor heat level of the thermoplastic high-gloss injection molding target. The temperature deviation trend of the thermoplastic high-gloss injection molding target is defined as the overheating trend. The temperature deviation trend of the thermoplastic highlight injection molding target is defined as the poor heat trend, and the temperature deviation trend of the thermoplastic highlight injection molding target is identified accordingly, including the overflow heat trend and the poor heat trend; According to the temperature deviation trend identification method of the thermoplastic highlight injection molding target, the temperature deviation trend of the thermosetting highlight injection molding target is identified in the same way, and the pressure deviation trend of the highlight injection molding target is identified in the same way; When the temperature deviation trend of the thermoplastic or thermosetting highlight injection molding target is an overflow trend, the control trend of the injection temperature corresponding to the preset operation data is determined to be downward adjustment; when the temperature deviation trend of the thermoplastic highlight injection molding target is a lean heat trend, the control trend of the injection temperature corresponding to the preset operation data is determined to be upward adjustment, and then the control trend of the injection pressure corresponding to the preset operation data is determined in this way.

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